Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"

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Deep LearningIEMBA2022-Lab
Overview

IEMBA 8/9 - Coding and Artificial Intelligence

Course Banner

Dear IEMBA 8/9 students,

welcome to our IEMBA 8/9 elective course Coding and Artificial Intelligence, taught by Prof. Dr. Damian Borth and Prof. Dr. Barbara Weber. In this course, lectures and hands-on lab courses alternate to provide a better learning experience. Lab course materials for Python programming, Machine Learning und Deep Learning are available in and accessible through this repository.

Please use a laptop computer for the lab courses (not a tablet) to be able to fully participate in the exercises.

Happy Coding!

Your IEMBA teaching team

This table lists all coding lab notebooks and exercise notebooks:

Date Topic Lab Notebook Exercise Notebook Solution Notebook
< Mon, Jan 17 Prerequisite - Binder
Open In Colab		 -
Mon, Jan 17 Python 101: Jupyter Notebooks and Python Basics Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
Tue, Jan 18, morning session Python 102: Numerical Math & Images Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
Tue, Jan 18, afternoon session Machine Learning I
(Naive Bayes)		 Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
Tue, Jan 18, afternoon session Machine Learning II
(k Nearest-Neighbors)		 Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
Wed, Jan 19, morning session Deep Learning I
(Artificial Neural Nets)		 Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
Wed, Jan 19, afternoon session Deep Learning II
(Convolutional Neural Nets)		 Binder
Open In Colab		 Binder
Open In Colab		 Binder
Open In Colab
< TBD Exam Exercise - Binder
Open In Colab		 -
Owner
Artificial Intelligence & Machine Learning (AI:ML Lab) @ HSG
Deep Learning Research by AIML Team @ HSG
Artificial Intelligence & Machine Learning (AI:ML Lab) @ HSG
GitHub Repository
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Unofficial Implementation of MLP-Mixer in TensorFlow

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Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting

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A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

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ApexRL 12 Mar 19, 2022
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500 Jan 06, 2023
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Vivek7 3 Aug 26, 2022
The code for our paper Semi-Supervised Learning with Multi-Head Co-Training

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cmc 6 Dec 04, 2022
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization

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Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

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The missing CMake project initializer

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